Journal of the Korean Data and Information Science Society
- 제19권2호
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- Pages.551-558
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- 2008
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- 1598-9402(pISSN)
Exploiting a Statistical Threshold for Efficiently Identifying Correlated Pairs
- Kim, Myoung-Ju (Department of Statistics, Changwon National University) ;
- Park, Hee-Chang (Department of Statistics, Changwon National University)
- 발행 : 2008.04.30
초록
Association rule mining searches for interesting relationships among items in a given database. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule, support and confidence and lift. If there is many item in the association rule, much time is required. Xiong(2004) studies new method which is to compute the support of upper. They used support of upper to the